Semiparametric lag dependent functions
Lindström, Erik (2013). Semiparametric lag dependent functions. Applied Mathematical Sciences, 7, (12), 551 - 566
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Published
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English
Authors:
Lindström, Erik
Department:
Mathematical Statistics
Mathematical Finance-lup-obsolete
Financial Mathematics Group
Research Group:
Mathematical Finance-lup-obsolete
Financial Mathematics Group
Abstract:
This paper introduces a suite of tests for linear and general non-
linear serial dependence. The problem is complex as the number of
variations of realistic non-linear alternatives is very large.
The alternative model is dened in terms of penalized truncated
polynomial splines, making the approximation capable of accurately
approximating a large class of linear and non-linear processes.
The asymptotic distribution for the test statistic is derived, and we
show using Monte Carlo simulations that one test is equivalent to the
Ljung-Box test, other linear tests corresponds to ordinary or partial
sample autocorrelation while the non-linear versions are capable of de-
tecting non-linear eects, even when other tests fail to do so.
Keywords:
time series ;
hypothesis testing ;
Stationary processes
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